Table 7.

Comparison of classification accuracies (CA) of SNNs on the 40 cards Fast-Poker-DVS data set.

Architecture	Learning-type	Learning-rule	CA (%)
CNN (Pérez-Carrasco et al., 2013)	Supervised	Backprop	90.1 − 91.6
CNN (Orchard et al., 2015b)	Unsupervised	HFirst	97.5 ± 3.5
CNN (Lagorce et al., 2016)	Supervised	HOTS	100
CNN (this work)	Supervised	Stochastic GD	100